N. Alves, J.S. Bosma, K. Venkadesh, C. Jacobs, Z. Saghir, M. de Rooij, J. Hermans and H. Huisma, "Erratum for: Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT",
Radiology,
2023;309.
N. Alves, J.S. Bosma, K. Venkadesh, C. Jacobs, Z. Saghir, M. de Rooij, J. Hermans and H. Huisman, "Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT",
Radiology,
2023;308(3):e230275.
K. Venkadesh, T. Aleef, E. Scholten, Z. Saghir, M. Silva, N. Sverzellati, U. Pastorino, B. van Ginneken, M. Prokop and C. Jacobs, "Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules",
Radiology,
2023;308(2):e223308.
N. Antonissen, K. Venkadesh, H. Gietema, R. Vliegenthart, Z. Saghir, E. Scholten, M. Prokop, C. Schaefer-Prokop and C. Jacobs, "Retrospective validation of nodule management based on deep learning-based malignancy thresholds in lung cancer screening",
European Congress of Radiology,
2023.
D. Peeters, N. Alves, K. Venkadesh, R. Dinnessen, Z. Saghir, E. Scholten, H. Huisman, C. Schaefer-Prokop, R. Vliegenthart, M. Prokop and C. Jacobs, "The effect of applying an uncertainty estimation method on the performance of a deep learning model for nodule malignancy risk estimation",
European Congress of Radiology,
2023.
N. Antonissen, K. Venkadesh, H. Gietema, R. Vliegenthart, Z. Saghir, M. Silva, E. Pastorino, E. Scholten, M. Prokop, C. Schaefer-Prokop and C. Jacobs, "Retrospective identification of low-risk individuals eligible for biennial lung cancer screening using PanCan-based and deep learning-based risk thresholds",
Annual Meeting of the European Society of Thoracic Imaging,
2023.